txt_ladcs = r'''D:\programFiles\anaconda\anaconda3_2023_07_01\envs\ladc\python.exe E:\pycharmProjs\yolo-ladcs\val.py 
Ultralytics YOLOv8.1.24 🚀 Python-3.8.19 torch-1.13.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24576MiB)
YOLOv8n-ladcs summary (fused): 243 layers, 2600180 parameters, 0 gradients, 12.2 GFLOPs
val: Scanning E:\pycharmProjs\yolo-ladcs\dataset\TIB-NET-YOLO\labels\test.cache... 570 images, 0 backgrounds, 0 corrupt: 100%|██████████| 570/570 [00:00<?, ?it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 36/36 [00:02<00:00, 13.86it/s]
                   all        570        570      0.939      0.942      0.957      0.432
Speed: 0.1ms preprocess, 1.9ms inference, 0.0ms loss, 0.5ms postprocess per image
Saving runs\val\exp10\predictions.json...
Results saved to runs\val\exp10

Process finished with exit code 0
'''

txt_ladc = r'''D:\programFiles\anaconda\anaconda3_2023_07_01\envs\ladc\python.exe E:\pycharmProjs\yolo-ladcs\val.py 
Ultralytics YOLOv8.1.24 🚀 Python-3.8.19 torch-1.13.0+cu117 CUDA:0 (NVIDIA GeForce RTX 3090, 24576MiB)
YOLOv8n-ladc summary (fused): 198 layers, 2674483 parameters, 0 gradients, 7.9 GFLOPs
val: Scanning E:\pycharmProjs\yolo-ladcs\dataset\TIB-NET-YOLO\labels\test.cache... 570 images, 0 backgrounds, 0 corrupt: 100%|██████████| 570/570 [00:00<?, ?it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 36/36 [00:02<00:00, 16.23it/s]
                   all        570        570      0.927      0.934      0.947        0.412
Speed: 0.1ms preprocess, 1.4ms inference, 0.0ms loss, 0.5ms postprocess per image
Saving runs\val\exp11\predictions.json...
Results saved to runs\val\exp11

Process finished with exit code 0
'''

print(txt_ladc)
